Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve problems and enable automation in diverse domains. This survey jointly presents the application of diverse ML techniques in various key areas of networking across different network technologies. In this way, readers will benefit from a comprehensive discussion on the different learning paradigms and ML techniques applied to fundamental problems in networking, including traffic prediction, routing and classification, congestion control, resource and fault management, QoS and QoE management, and network security. It also delineates the limitations, gives insights, research challenges and future opportunities to advance ML in networking.

Closed thematic series

Big DataIt has been proven that in a wide range of domains intelligent analyses of big data can lead to profound insights, which in turn can introduce great benefits to businesses, public organizations, and individuals. This thematic series aims to publish top-quality research contributions in this area, emphasizing big data infrastructures, services, and applications.

The Internet of ThingsThis thematic series aims at providing innovative contributions to the research and development of the Internet of Things, regarding the design, analysis, implementation and evaluation of models, algorithms, protocols, software development platforms and tools, computing and networking architectures, as well as applications for the IoT.

Free and Open Source Software DevelopmentThis Thematic Series aims to bring innovative contributions to research and development of Free and Open Source Software Development, creating a source of reference for researchers and practitioners.

Aims and scope

In a world moving rapidly online, and becoming more and more computer-dependent, the Journal of Internet Services and Applications (JISA) focuses on networking, communication, content distribution, security, scalability, and management on the Internet. Coverage focuses on recent advances in the state-of-the art of Internet-related Science and Technology.

It is the wish of the JISA team that all quality articles will be published in the journal independent of the funding capacity of the authors. Thus, if the authors are unable to pay the APC charge, we recommend that they contact the editors. The JISA team will provide support to find alternative ways of funding. In particular, a grant from the Brazilian Internet Steering Committee helps sponsoring the publication of many JISA articles.

Open thematic series

Computational Intelligence for Internet Services and ApplicationsThe Internet has evolved significantly over the 50 years of its existence and it is clear that it still needs to evolve further. The advent of the Internet of Things (IoT) has made it possible to provide innovative services and applications. However, the massive amount of data generated by sensors poses new challenges that are still to be adequately addressed. In addition, the current trend towards intelligent Internet services and applications poses new requirements for the networking infrastructure, such as scalability, robustness and configuration flexibility. This Thematic Series aims at revealing contributions of Computational Intelligence (Neural Networks, Machine Learning, Data Mining, Fuzzy Logic and Evolutionary Computation) applied to Internet infrastructure, architectures, protocols, services and applications.

Middleware for the Internet of ThingsThis JISA thematic series provides a forum for describing innovative contributions and/or ground-breaking results on middleware infrastructure, abstractions and services for enabling the Internet of Things (IoT).

Complex Distributed Systems and Systems of SystemsThis Thematic Series provides a forum for describing innovative contributions to the conceptual and architectural design, implementation, deployment, and evaluation of distributed systems with the aim of facilitating complex systems of systems. The series presents novel research efforts and approaches in discovering and actuating opportunistic relationships between systems of different sorts such as big data systems, Internet of Things (IoT) systems, cyber-physical systems, M2M business applications, network overlays, and multimedia delivery systems.

Verification and Composition for the Internet of Services and ThingsThis Thematic Series aims at new verification and composition techniques able to meet the requirements of modern applications, counteracting the specialization of traditional approaches in order to deal with heterogeneity, dynamicity, adaptation, large scale, mobility, security, etc. We seek contributions at various levels: from foundational aspects to concrete application experiments; from modeling to verification and analysis; from componentization to composition; and from deployment to execution.